A Rhythm-Based Serious Game for Fine Motor Rehabilitation Using Leap Motion

被引:0
|
作者
Shah, Vatsal [1 ]
Cuen, Miguel [1 ]
McDaniel, Troy [1 ]
Tadayon, Ramin [1 ]
机构
[1] Arizona State Univ, Ctr Cognit Ubiquitous Comp CUbiC, Tempe, AZ 85281 USA
来源
2019 58TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE) | 2019年
关键词
Rehabilitation; Serious Games; Leap Motion; STROKE;
D O I
10.23919/sice.2019.8859927
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a system to deliver automated and noninvasive fine motor rehabilitation through a rhythm-based game using a Leap Motion Controller. The platform is a rhythm game wherein hand gestures are used as input and must match the rhythm and gestures shown on screen, thus allowing a physical therapist to represent an exercise session as a series of patterns involving the user's hand and finger joints. Fine motor rehabilitation plays an important role in the recovery and improvement of the effects of diseases and conditions such as stroke, Parkinson's disease, multiple sclerosis, among many others. Individuals with these conditions possess a wide range of impairments such as fine motor movement. The proposed serious game is adaptive to the player to enable access to patients across a wide range of ability. In two pilot studies in collaboration with the South West Advanced Neurological Rehabilitation (SWAN Rehab) in Phoenix, Arizona, we compared the performance of individuals with fine motor impairment to individuals without impairment to determine the accessibility of the proposed serious game, i.e., to assess whether the platform is adaptive to a user's range of motion to allow an individual with fine motor impairment to perform at a similar level as a non-impaired user. We also separately evaluated the adaptive calibration algorithm to understand its impact on an individual's performance.
引用
收藏
页码:737 / 742
页数:6
相关论文
共 50 条
  • [41] Exergames for hand rehabilitation in elders using Leap Motion Controller: A feasibility pilot study
    Pirbabaei, Erfan
    Amiri, Zahra
    Sekhavat, Yoones A.
    Goljaryan, Sakineh
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2023, 178
  • [42] Suitability of functional evaluation embedded in serious game rehabilitation exercises to assess motor development across lifespan
    Bonnechere, B.
    Sholukha, V.
    Omelina, L.
    Van Vooren, M.
    Jansen, B.
    Jan, S. Van Sint
    GAIT & POSTURE, 2017, 57 : 35 - 39
  • [43] A Virtual Glove System for the Hand Rehabilitation based on Two Orthogonal LEAP Motion Controllers
    Placidi, Giuseppe
    Cinque, Luigi
    Petracca, Andrea
    Polsinelli, Matteo
    Spezialetti, Matteo
    ICPRAM: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, 2017, : 184 - 192
  • [44] Motion Primitives Classification Using Deep Learning Models for Serious Game Platforms
    Bakalos, Nikolaos
    Rallis, Ioannis
    Doulamis, Nikolaos
    Doulamis, Anastasios
    Voulodimos, Athanasios
    Vescoukis, Vassilios
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2020, 40 (04) : 26 - 38
  • [45] Leap Motion-based virtual reality training for improving motor functional recovery of upper limbs and neural reorganization in subacute stroke patients
    Wang, Zun-rong
    Wang, Ping
    Xing, Liang
    Mei, Li-ping
    Zhao, Jun
    Zhang, Tong
    NEURAL REGENERATION RESEARCH, 2017, 12 (11) : 1823 - 1831
  • [46] Leap Motion-based virtual reality training for improving motor functional recovery of upper limbs and neural reorganization in subacute stroke patients
    Zun-rong Wang
    Ping Wang
    Liang Xing
    Li-ping Mei
    Jun Zhao
    Tong Zhang
    NeuralRegenerationResearch, 2017, 12 (11) : 1823 - 1831
  • [47] Clinical validation of an individualized auto-adaptative serious game for combined cognitive and upper limb motor robotic rehabilitation after stroke
    Doumas, Ioannis
    Lejeune, Thierry
    Edwards, Martin
    Stoquart, Gaetan
    Vandermeeren, Yves
    Dehez, Bruno
    Dehem, Stephanie
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2025, 22 (01)
  • [48] A Serious Game Application using EEG-based Brain Computer Interface
    Jose Perales, Francisco
    Amengual, Esperanca
    NEUROTECHNIX: PROCEEDINGS OF THE INTERNATIONAL CONGRESS ON NEUROTECHNOLOGY, ELECTRONICS AND INFORMATICS, 2013, : 249 - 255
  • [49] Design guidelines for developing customised serious games for Parkinson's Disease rehabilitation using bespoke game sensors
    Paraskevopoulos, Ioannis Theoklitos
    Tsekleves, Emmanuel
    Craig, Cathy
    Whyatt, Caroline
    Cosmas, John
    ENTERTAINMENT COMPUTING, 2014, 5 (04) : 413 - 424
  • [50] A novel music-based game with motion capture to support cognitive and motor function in the elderly
    Agres, Kat
    Lui, Simon
    Herremans, Dorien
    2019 IEEE CONFERENCE ON GAMES (COG), 2019,